Abu Dhabi, UAE – March 17, 2026 — The Technology Innovation Institute (TII), the applied research pillar of Abu Dhabi’s Advanced Technology Research Council (ATRC), announced the direct integration of its Quantum Computing Cloud Platform with the CUDA-Q framework of NVIDIA. The integration connects TII’s cloud-based quantum infrastructure with a hybrid quantum-classical programming environment used within high-performance computing.
Researchers and developers can submit quantum jobs directly to TII’s physical quantum hardware and simulators through its platform (https://q-cloud.tii.ae), using the CUDA-Q programming interface. The integration provides access through established programming languages such as Python and C++, allowing quantum circuits to be developed, simulated, and executed within a consistent computational environment.
The configuration supports a “write-once, run-anywhere” model, with two defined pathways for job submission. A native integration allows deployment through TII’s Python client, enabling direct interaction with its cloud infrastructure. A second pathway enables the use of standard CUDA-Q interfaces, allowing developers to target TII’s cloud-based quantum processing units as a backend through conventional CUDA-Q code. The structure enables continuity between development, simulation, and execution within a single programming framework.
Dr. Leandro Aolita, Chief Researcher at TII’s Quantum Research Centre, stated: “Our goal is to make quantum computing on our in-house QPUs both accessible and performant for the global research community. By enabling CUDA-Q users to submit jobs directly to our cloud platform, we are integrating the UAE’s sovereign quantum-technology capabilities into the global fabric of hybrid high-performance computing.”
Through the integration, developers using CUDA-Q can select TII’s infrastructure as a backend through a configuration setting, supporting the development of hybrid quantum-classical algorithms across application areas such as materials science, cryptography, and optimisation. The approach facilitates structured experimentation within a unified environment that combines classical and quantum computational processes.
The development forms part of TII’s broader quantum research programme, which includes activities across quantum computing, quantum communications, and quantum sensing. The institute has advanced work on superconducting qubit systems, quantum algorithms, and large-scale simulation capabilities, alongside the development of secure communication protocols and quantum network architectures. Cloud-based access to quantum resources represents a central component of this programme, supporting collaboration with international research communities and enabling controlled access to in-house infrastructure.
The integration with CUDA-Q aligns with TII’s focus on accessible computational environments and structured workflows. The announcement centres on software compatibility, workflow organisation, and access through established programming frameworks. No statements have been made regarding changes in quantum hardware capability or performance metrics.
The integration provides a defined mechanism for accessing TII’s quantum systems within a hybrid computational setting, supporting development, testing, and execution through a unified programming interface.
Source: Technology Innovation Institute official announcement, March 17, 2026.
